A one-to-one association states that a model may only be associated with one other model. In order for the model to know which other model it is associated with a foreign key must be included in the record.
Waterline uses the concept of a model
attribute to indicate that a record should store a reference
to another model. Whenever this attribute is found a foreignKey
will be built up in the underlying
schema to handle the association.
// A user may only have a single pet
var User = Waterline.Collection.extend({
identity: 'user',
connection: 'local-postgresql',
attributes: {
firstName: 'string',
lastName: 'string',
// Add a reference to Pet
pet: {
model: 'pet'
}
}
});
// A Pet may have multiple users
var Pet = Waterline.Collection.extend({
identity: 'pet',
connection: 'local-postgresql',
attributes: {
breed: 'string',
type: 'string',
name: 'string'
}
});
In the above example we are associating a Pet
with a User
. The User
may only have one Pet
in
this case but a Pet
is not limited to a single User
. Because we have only formed an association
on one of the models, a Pet
has no restrictions on the number of User
models it can belong to.
We can change this and associate the Pet
with exactly one User
and the User
with exactly one
Pet
.
// A user may only have a single pet
var User = Waterline.Collection.extend({
identity: 'user',
connection: 'local-postgresql',
attributes: {
firstName: 'string',
lastName: 'string',
// Add a reference to Pet
pet: {
model: 'pet'
}
}
});
var Pet = Waterline.Collection.extend({
identity: 'pet',
connection: 'local-postgresql',
attributes: {
breed: 'string',
type: 'string',
name: 'string',
// Add a reference to User
user: {
model: 'user'
}
}
});
Now that both models know about each other you can query the association from both sides. To add an association to a model when creating a record you can use the named attribute you set in the model definition.
Pet.create({
breed: 'labrador',
type: 'dog',
name: 'fido',
// Set the User's Primary Key to associate the Pet with the User.
user: 123
})
.exec(function(err, pet) {});
This will create a new Pet
record with the User
foreignKey set. It will allow you to query a Pet
and also retrieve their owners but the User
side of the association doesn't know about the Pet
.
To ensure you can query both ways the User
record will need to be updated with the new Pet
record.
You can do this many ways but a simple nested example may look like this:
Pet.create({
breed: 'labrador',
type: 'dog',
name: 'fido',
// Set the User's Primary Key to associate the Pet with the User.
user: 123
})
.exec(function(err, pet) {
if(err) // Handle Error
User.update(123, { pet: pet.id }).exec(function(err, user) {});
});
Now that the associations are created you can query the records and include the associated data. To
do this the populate
option is used. This will add a key to each model returned that contains an
object with the corresponding record. Because we set the association on both sides above you could
use populate
on either side.
Pet.find()
.populate('user')
.exec(function(err, pets) {
// The pets object would look something like the following
// [{
// id: 1,
// breed: 'labrador',
// type: 'dog',
// name: 'fido',
// user: {
// id: 123,
// firstName: 'Foo',
// lastName: 'Bar',
// pet: 1
// }
// }]
});
These one-to-one relationships will also work if you're using a legacy database. You'll have to specify a tableName
attribute, along with appropriate columnName
s for each field attribute.
In this example, PetBiz prefixes all of their tables and fields with pb_
. So the Pet model becomes:
var Pet = Waterline.Collection.extend({
identity: 'pet',
connection: 'local-postgresql',
tableName: 'pb_pets'
attributes: {
id: {
type: 'integer',
primaryKey: true
},
breed: {
type: 'string',
columnName: 'pb_pet_breed'
},
animal: {
type: 'string',
columnName: 'pb_pet_species'
},
name: {
type: 'string',
columnName: 'pb_pet_name'
},
// And here we make the association:
owner: {
model: 'user'
}
}
});
Meanwhile, the User
would look something like this:
var User = Waterline.Collection.extend({
identity: 'user',
connection: 'local-postgresql',
tableName: 'pb_user'
attributes: {
id: {
type: 'integer',
primaryKey: true
},
firstName: {
type: 'string',
columnName: 'pb_owner_first'
},
lastName: {
type: 'string',
columnName: 'pb_owner_last'
},
// Add a reference to Pet
pet: {
model: 'pet'
}
}
});
With just these minor changes to the model, the queries described earlier should work the same.